five

Supplementary Tables

收藏
DataCite Commons2025-02-28 更新2025-05-07 收录
下载链接:
https://figshare.com/articles/dataset/Supplementary_Tables/28513691
下载链接
链接失效反馈
官方服务:
资源简介:
AbstractBackgroundAntimicrobial Resistance (AMR) is a major global health challenge, particularly in Africa, where antibiotic misuse worsens resistance. This study aims to identify potential drug targets in imipenem-resistant E. coli isolates from the Vet-LIRN database through a four-phase approach integrating GIS analysis, genomic data, subtractive genomics, and druggability assessments.MethodsPhase I involved a literature review and the creation of interactive Geographical Information System (GIS) dashboards to examine resistance patterns for Ampicillin, Minocycline, and Imipenem across North America and Africa, using data from the ATLAS and Vet-LIRN databases. Phase II focused on genomic analysis of resistant and susceptible E. coli isolates to identify non-synonymous mutations linked to imipenem resistance. Phase III applied subtractive genomics to identify essential bacterial proteins unique to E. coli and absent in humans and dogs. Phase IV assessed the druggability of these proteins by analyzing their physicochemical properties and interactions with drugs in the DrugBank database.ResultsGIS analysis revealed significant geographical variations in resistance, with Africa showing higher resistance to Ampicillin (80%) compared to North America (55%). Genomic analysis identified 337 proteins in the imipenem-resistant E. coli isolates, with 68 considered potential drug targets. Of these, 29 proteins were homologous to DrugBank proteins that interacted with over 1,500 drugs. The cell wall/membrane protein group matched with 80 drugs, metabolic enzymes with 166 drugs, transport-related proteins with 700 drugs, regulatory proteins with 1 drug, and DNA methylation/epigenetic proteins with several drugs.ConclusionsThis study demonstrates that integrating GIS, genomics, and druggability assessments enhances AMR research and provides a framework for identifying novel drug targets. The 29 proteins interacting with over 1,000 drugs offer potential for drug repurposing, particularly against imipenem-resistant E. coli and other multidrug-resistant pathogens<br>
提供机构:
figshare
创建时间:
2025-02-28
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作